This Deep Learning in Machine Vision Market report has been prepared by considering several fragments of the present and upcoming market scenario. The market insights gained through this market research analysis report facilitates more clear understanding of the market landscape, issues that may interrupt in the future, and ways to position definite brand excellently. It consists of most-detailed market segmentation, thorough analysis of major market players, trends in consumer and supply chain dynamics, and insights about new geographical markets. The market insights covered in Chromatography Columns report simplifies managing marketing of goods and services effectively.

Deep learning in machine vision market is expected to gain market growth in the forecast period of 2022 to 2029. Data Bridge Market Research analyses that the market is growing with the CAGR of 12.5% in the forecast period of 2022 to 2029 and expected to reach USD 9,262.40 million by 2029.

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Market Overview:

The major factors driving the growth of the deep learning in machine vision market are increasing adoption of AI, deep learning and technical advancements in hardware and software. Rising adoption of 3D inspection system over conventional inspection systems is increasing which is boosting the growth of the market. The security threats of neural networks and deep learning is acting as a major challenge for the growth of the market as the threats are increased with the evolution of technology.

Some of the major players operating in the Deep Learning in Machine Vision Market are

Cognex Corporation, Intel Corporation, NATIONAL INSTRUMENTS CORP., SICK AG, Datalogic S.p.A., STEMMER IMAGING AG, Abto Software, Adaptive Vision Sp. z o.o. (subsidiary of Zebra Technologies Corporation), Autonics Corporation, Basler AG, Cyth Systems, Inc., EURESYS S.A., IDS Imaging Development Systems GmbH, Integro Technologies Corp., LeewayHertz, Matrox Imaging, MVTEC SOFTWARE GMBH, Omron Microscan Systems, Inc. (A Subsidiary of OMRON Corporation), perClass BV, Qualitas Technologies, RSIP Vision, USS Vision LLC, and Viska Automation Systems Ltd. T/A Viska Systems 

Global Deep Learning in Machine Vision Market Scope

Deep learning in machine vision market is segmented on the basis of offering, application, object, and vertical. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

• On the basis of offering, the global deep learning in machine vision market is segmented into hardware, software, and services. In 2022, the hardware held a larger share in the market as the deep learning in machine vision is dependent on hardware such as frame grabbers, cameras, optics, and many more, which are essential components for deep learning in machine vision market.
• On the basis of application, the global deep learning in machine vision market has been segmented into inspection, image analysis, anomaly detection, object classification, object tracking, counting, bar code detection, feature detection, location detection, optical character recognition, face recognition, instance segmentation, and others. In 2022, inspection held a larger share in the market, as the companies perform quality assurance & inspection of their products before selling into market, which will help increase their revenue.
• On the basis of object, global deep learning in machine vision market has been segmented into image and video. In 2022, image segment is expected to hold the major share in the market due to growing demand for integration of deep learning with machine vision to automate the manufacturing process which can be used for object detection, smoothening the manufacturing process, error detection, defect detection among others in various industries such as automotive, manufacturing, consumer electronics among others.
• On the basis of vertical, global deep learning in machine vision market has been segmented into electronics, manufacturing, automotive and transportation, food & beverages, aerospace, healthcare, building and material, power, and others. In 2022, electronics segment is expected to hold the largest share in the market owing to factors such as growing demand for smart systems which are aided by AI and deep learning-based computer vision systems which proves to be highly accurate and precise in decision making.

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Table of Content:

Part 01: Executive Summary

Part 02: Scope of the Report

Part 03: Global Deep Learning in Machine Vision Market 

Part 04: Global Deep Learning in Machine Vision Market  Sizing

Part 05: Global Deep Learning in Machine Vision Market Segmentation By Product

Part 06: Five Forces Analysis

Part 07: Customer Landscape

Part 08: Geographic Landscape

Part 09: Decision Framework

Part 10: Drivers and Challenges

Part 11: Market Trends

Part 12: Vendor Landscape

Part 13: Vendor Analysis

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